The problem of fuzzy community detection in networks was early studied in [57, 58], it allows each vertex of the graph to belong to multiple communities at the same time, determined by exact numerical membership degrees, even in the presence of uncertainty in the data being analyzed.
Hence, experimental and – to an increasing degree – numerical efforts are needed to reveal the underlying phenomena.
The paper is Aiming at getting numerical control, high degree of accuracy and higher carrier signal in the digital communication system.
The aim of the research was achieved by using a new numerical model, Multi Degree of Freedom (MDF), as developed by the authors and Design of Experiment (DoE) techniques with a response surface.
The impact of introducing variability in the proposed representation model towards improving the naturalness and similarity of the represented dance style with the captured dance was specifically measured by the numerical correlation and degree of variance, presented in Table 2, and the subjective reasoning of the inquired subjects, presented in Figure 10.
The polynomial numerical hull of degree k for a square matrix A is a set designed to give useful information about the norms of polynomial functions of the matrix; it is defined as{z∈C: ∥p(A)∥⩾|p z)| for all p of degree k or less}.Whilethese sets have been computed numerically for a number of matrices, the computations have not been verified analytically in most cases.
This paper analyzed wind characteristics, Weibull wind speed distribution using four numerical methods, eighth-degree polynomial modeling of wind turbine power curve, and capacity factor estimation of wind turbines at Soda site in the desert region of western Rajasthan in India.
To quantify the relative levels of the protein, images of specific protein bands were assessed by the grey-degree numerical value.
Although modern numerical models contain many degrees of freedom, only a few degrees of freedom are typically measured using conventional instrumentation such as strain gauges and extensometers.
He received a master's degree in numerical analysis from Pierre and Marie Curie University in Paris in 1996 and a doctorate in mathematics from the University of Paris Dauphine in 1998.
